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Feature Selection for Data and Pattern Recognition: 584 (Studies in Computational Intelligence) - Tapa blanda
Sinopsis
This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition.
Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks.
This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.
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<p>This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. </p><p>Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. </p><p>This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies. </p><p></p>
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Feature Selection for Data and Pattern Recognition
Publicado por
Springer Berlin Heidelberg, 2016
ISBN 10: 3662508451
ISBN 13: 9783662508459
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Tapa blanda
Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research trends in feature selection for data and pattern recognitionPoints to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and rank. Nº de ref. del artículo: 449137513
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Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence, 584)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783662508459_new
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Feature Selection for Data and Pattern Recognition
Publicado por
Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10: 3662508451
ISBN 13: 9783662508459
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies. 376 pp. Englisch. Nº de ref. del artículo: 9783662508459
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Feature Selection for Data and Pattern Recognition
Publicado por
Springer Berlin Heidelberg, 2016
ISBN 10: 3662508451
ISBN 13: 9783662508459
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies. Nº de ref. del artículo: 9783662508459
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Feature Selection for Data and Pattern Recognition
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Condición: New. Nº de ref. del artículo: 28061637-n
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Feature Selection for Data and Pattern Recognition
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 28061637-n
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Feature Selection for Data and Pattern Recognition
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10: 3662508451
ISBN 13: 9783662508459
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch. Nº de ref. del artículo: 9783662508459
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Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence, 584)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020315747
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Feature Selection for Data and Pattern Recognition
Publicado por
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2016
ISBN 10: 3662508451
ISBN 13: 9783662508459
Nuevo
Tapa blanda
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Condición: New. Editor(s): Stanczyk, Urszula; Jain, Prof. Lakhmi C. Series: Studies in Computational Intelligence. Num Pages: 373 pages, 54 black & white illustrations, 20 colour illustrations, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 575. . 2016. Softcover reprint of the original 1st ed. 2015. Paperback. . . . . Nº de ref. del artículo: V9783662508459
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Feature Selection for Data and Pattern Recognition (Paperback)
Publicado por
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2016
ISBN 10: 3662508451
ISBN 13: 9783662508459
Nuevo
Paperback
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies. This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783662508459
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